Data Engineer

Andromeda Systems Incorporated  (ASI) provides tools and services to assist Physical Asset Owners, Fleet Managers, and Military Program Managers in gaining critical insights into their equipment’s performance, identifying system improvements, optimizing operations and support, making better business decisions, and achieving measurable life‑cycle cost savings.

ASI provides unparalleled expertise and capabilities in the Reliability, Maintenance, Supportability, and Logistics disciplines. Our staff of internationally recognized leaders are shaping the industry and developing revolutionary solutions in the military and commercial sectors. Clients leverage our experience and cutting‑edge analytical tools to improve asset performance and reduce life‑cycle costs. As a leading provider of professional and high technology services and solutions, ASI serves the Department of Defense, U.S. civilian agencies, and private industry.

ASI is seeking a highly‑skilled Data Engineer to join the data engineering team in our Jacksonville, FL office. This role focuses on designing, architecting, and optimizing robust data pipelines and cloud‑based data systems that support analytics, dashboards, operational software applications, and mission‑critical customer deliverables.

As a Data Engineer, you will act as a technical leader within the data engineering group. You will work closely with customers, software developers, and cross‑functional data professionals to translate complex requirements into scalable, production‑ready data solutions.

• Architect, design, and implement scalable, secure data pipelines and ETL/ELT workflows to ingest data into AWS cloud environments
• Lead the development of data architectures supporting analytics, dashboards, and operational systems, ensuring reliability, performance, and maintainability
• Collaborate with software engineering teams to clean, migrate, and replicate data into and within SQL Server environments
• Engineer solutions to integrate, transform, and harmonize data from diverse structured and unstructured sources
• Optimize data storage systems, warehouse/lake environments, and relational database performance
• Serve as a senior technical resource to junior and mid‑level data engineers, offering mentorship and guiding architectural decisions
• Work directly with customers to clarify requirements, present technical concepts, set expectations, and deliver actionable insights
• Uphold data governance and data quality processes to ensure trustworthiness and traceability
• Support development of customer‑facing dashboards and analytics by providing high‑quality, well‑curated datasets
• Drive continuous improvement in pipeline automation, monitoring, and reliability

• Bachelor’s or Master’s degree in computer science, information systems, data engineering, or related discipline
• 3+ years of experience building and delivering production‑grade data pipelines using cloud, Python, and SQL technologies
• Demonstrated ability to design strong data pipeline architecture for scalable ingestion, transformation, and analytics
• Proficiency in Python, SQL, and modern cloud data flows (AWS preferred)
• Experience manipulating, cleansing, and replicating data within relational databases, including SQL Server
• Experience supporting data ingestion and transformation processes for analytics or dashboard development
• Ability to collaborate with cross‑functional teams consisting of data engineers, analysts, software developers, and customers to deliver complete, high‑quality products
• Strong communication and customer‑facing skills; able to clearly articulate technical concepts and set realistic expectations
• Occasional evening or weekend work may be required to support critical deliverables

• Prior military experience or experience supporting DoD systems
• AWS experience or certification (Solutions Architect, Data Engineer, or Developer)
• Experience with distributed data processing platforms (Spark, Databricks, or Hadoop)
• Experience with SQL and No
  
  SQL systems
• Experience supporting or enabling dashboard or BI development using Qlik and Tableau
• Familiarity with data warehousing, metadata…